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In this episode of Got AI, Nahel sits down with Nate Carson from UberAI Solutions — the AI and machine learning division born inside Uber. Most people know Uber for rides, food delivery, and logistics. But behind the scenes, Uber built sophisticated AI infrastructure powering everything from localization and translation to machine learning systems and large-scale operational intelligence. Now, UberAI Solutions is bringing those capabilities to external clients across autonomous vehicles, foundation model labs, and major technology companies. In this conversation, we explore: • How UberAI evolved from an internal AI team into a commercial AI business • The future of training data and AI infrastructure • Autonomous vehicles and real-world data collection • Data annotation at global scale • AI operations behind localization and translation systems • The growing demand for high-quality AI datasets • What enterprise AI adoption really looks like If you're interested in AI, machine learning, autonomous systems, enterprise transformation, or the future of intelligent infrastructure — this episode is for you. Subscribe for more conversations with innovators, founders, and AI leaders shaping the future. #AI #Uber #MachineLearning #ArtificialIntelligence #AutonomousVehicles #GenerativeAI #DataAnnotation #EnterpriseAI #FutureOfWork #techpodcast 00:00 Introduction 00:45 Meet Nate Carson from UberAI Solutions 02:10 How Uber built its internal AI capabilities 04:25 From rideshare company to AI infrastructure powerhouse 06:40 AI tools powering Uber’s ecosystem 08:15 Localization, translation & machine learning at scale 10:30 Working with AV and foundation model companies 13:00 Training data and global data collection 15:20 Why data annotation matters for AI 17:40 Enterprise demand for AI services 20:00 The future of AI infrastructure
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AI, Physical AI & Human Flourishing: A Conversation with Brennan from MHub Join us for an in-depth conversation with Brennan, Director of Strategic Partnerships at MHub, as we explore the intersection of AI, physical AI, and what it means for human flourishing in business and beyond. From autonomous vehicles at Uber to micro-mobility and now leading innovation partnerships in manufacturing and hard tech, Brennan brings a unique perspective on how AI is transforming both the digital and physical worlds. In This Episode: The reality of AI adoption in 2025-2026: What's actually working vs. the hype Why most companies are getting AI implementation wrong (and how to fix it) Physical AI explained: It's not just humanoids The future of robotics: Why task-specific robots beat humanoids Three critical trends every business leader needs to know Real talk about data, experimentation, and driving actual business value Key Timestamps: 0:00 - Introduction & Brennan's Background 5:30 - From Finance to Tech: KPMG, Uber, and Jump Bikes 12:45 - Is AI a Bubble? Private vs. Public Market Reality 18:20 - Enterprise AI Adoption: 2025 vs. 2026 25:10 - The Problem with Risk-Based vs. Value-Based AI Strategy 32:40 - What is Physical AI? Beyond the Buzzwords 40:15 - Computer Vision & Real-World Applications 45:30 - The Truth About Humanoid Robots 52:00 - Three Trends That Matter: Experimentation, Data, Customer Value Connect with MHub: mhubchicago.com Mentioned in This Episode: Waymo, Tesla Optimus, iRobot Jasper AI, Mad Robots, Fluid Reality Northwestern's Dexterity Research #AI #PhysicalAI #Robotics #Innovation #Manufacturing #EnterpriseAI #HumanFlourishing #Technology #MHub #AIStrategy #ComputerVision #AutonomousVehicles #BusinessInnovation #TechLeadership
GOT AI: A Conversation with Brennan from MHub
GPT-5 isn’t just smarter — it’s a game-changer. Imagine an AI that decides the best model for your task, manages your calendar, writes legal documents, challenges your thinking, and learns alongside you. In this episode, we break down GPT-5 in plain language — from how it acts like a PhD-level partner, to why it’s the ultimate equalizer in education, business, and creativity. We talk real-world use cases, the “AI-written” proposal controversy, and why this tech will push everyone — students, professionals, and even coders — to level up. Whether you’re curious, skeptical, or already using AI daily, this deep dive will change how you think about the future. Timestamps: 0:00 – Why GPT-5 Feels Like a PhD in Your Pocket 4:15 – The AI That Builds AI 8:30 – Real-World Scenarios & Agent Capabilities 14:05 – The Proposal Controversy: AI Bias in Action 20:45 – Challenging AI vs. Using It as a Crutch 27:00 – The Equalizer: Education, Skills, and Access 33:15 – From Coding to Creativity Without Barriers 39:10 – GPT-5 for Corporate Training & Micro-Learning
GPT-5: The PhD-Level AI That Builds AI (And Changes Everything)
Starting at 5:20: AI transforms how we search, discover, and engage with information, one big question emerges: Is SEO becoming obsolete? In this episode, Jerry and Nail dive into the evolving world of AI-powered search — from Google's shift toward AI-generated answers to how platforms like ChatGPT, Gemini, Claude, and Perplexity are reshaping the user journey. Key Topics: Why Google’s traditional SEO is in decline How AI is replacing keyword search with conversational discovery The rise of “zero-click” results and what that means for marketers Why creating agents may replace building websites The future of intelligent search agents talking to each other Why brands must rethink their digital presence for the AI-first world Whether you’re in marketing, tech, business strategy — or just a curious mind — this conversation unpacks where SEO is heading, and how agents (not pages) may become your new front door. Drop your thoughts in the comments. Subscribe and stay with us on the journey through AI, tech, and what comes next. #SEO #AIsearch #ChatGPT #GoogleAI #DigitalMarketing #AIagents #TheNewAgeMagellans #FutureOfSearch #Web3 #AIUX #ConversationalSearch Nahel Gandhi - https://www.linkedin.com/in/nahelgandhi/ Jerry Quandt -https://www.linkedin.com/in/jerryquandt/
Episode 8 - part 2 Is SEO Dead? The Rise of AI Search & the Future of Digital Discovery
This week, we dive deep into Stargate — the new mega AI compute facility backed by OpenAI, Oracle, SoftBank, and the U.S. government. Why Texas? What’s the geopolitical strategy behind the next facility in Abu Dhabi? And are we witnessing a modern AI space race with China? Topics covered: What is Stargate and why it matters U.S. public-private partnerships in AI AI-powered construction and job creation The strategic role of Abu Dhabi Why AI infrastructure is the new battleground Is China catching up — or setting the standard? The race to define global AI governance and tech stacks Join the conversation — drop your thoughts in the comments. Subscribe to follow our AI journey around the world. #AI #Stargate #OpenAI #Geopolitics #TechnologyPodcast #TheNewAgeMagellans #TechNews #FutureOfWork #USChina #QuantumComputing #AIInfrastructure #AbuDhabi #AIJobs #ArtificialIntelligence Nahel Gandhi - https://www.linkedin.com/in/nahelgandhi/ Jerry Quandt- https://www.linkedin.com/in/jerryquandt/
Episode 8 - Part 1 Why US needs Stargate in Texas and Abu Dhabi
The Global AI Race: Resources, Talent, Energy AI supremacy rests on three critical pillars: rare earth elements, specialized talent, and energy infrastructure. Nations are pursuing distinct competitive strategies: The US leverages private innovation and academic excellence. China combines state direction with manufacturing prowess. The EU focuses on ethical frameworks and sustainability. India positions itself as a talent powerhouse while building digital infrastructure. Success will belong to those who secure critical mineral supply chains, develop specialized talent pools, and solve the enormous energy challenges of advanced AI systems. #ArtificialIntelligence #GlobalTech #aistrategy @JerryQuandt https://www.linkedin.com/in/nahelgandhi/ https://www.linkedin.com/in/jerryquandt/
Episode 7: Ai Supremacy requires rare earth, energy, and skilled labor
In this video, we explore how AI and automation are transforming the technical workforce landscape in 2025 and beyond. As AI capabilities rapidly advance, traditional engineering and tech language specialist roles are evolving—with many repetitive, rules-based tasks becoming automated. What You'll Learn: Why mid-level engineers and language specialists are seeing the biggest impact from automation The critical skills that will remain in high demand despite automation trends How productivity is being amplified, with engineers able to accomplish more with less time and resources @JerryQuandt https://www.linkedin.com/in/nahelgandhi/ https://www.linkedin.com/in/jerryquandt/
Episode 7 :Meta and MSFT reducing their mid-level engineers
Everything these days is getting lumped into AI - data analytics, Machine learning, process automation etc. Follow and subscribe. https://parinamas.com https://www.linkedin.com/in/jerryquandt/ https://www.linkedin.com/in/nahelgandhi/
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